Communication, Computing, and Learning on the Edge. - Kaibin Huang; Guangxu Zhu; Changsheng You; Jun Zhang 004; Yuqing Du; Dongzhu Liu (ICCS, 2018)

Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold (Extended Version). - Yuqing Du; Guangxu Zhu; Jiayao Zhang 001; Kaibin Huang (CoRR, 2018)

Towards an Intelligent Edge: Wireless Communication Meets Machine Learning. - Guangxu Zhu; Dongzhu Liu; Yuqing Du; Changsheng You; Jun Zhang 004; Kaibin Huang (CoRR, 2018)

Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold. - Yuqing Du; Guangxu Zhu; Jiayao Zhang 001; Kaibin Huang (IEEE Trans. Signal Process., 2018)

High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning. - Yuqing Du; Sheng Yang; Kaibin Huang (GlobalSIP, 2019)

Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation. - Yuqing Du; Nicholas J. Hetherington; Chu Lip Oon; Wesley P. Chan; Camilo Perez Quintero; Elizabeth A. Croft; H. F. Machiel Van der Loos (ICRA, 2019)

An Introduction to Communication Efficient Edge Machine Learning. - Qiao Lan; Zezhong Zhang; Yuqing Du; Zhenyi Lin; Kaibin Huang (CoRR, 2019)

Fast Analog Transmission for High-Mobility Wireless Data Acquisition in Edge Learning. - Yuqing Du; Kaibin Huang (IEEE Wirel. Commun. Lett., 2019)

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning. - Guangxu Zhu; Yuqing Du; Deniz Gündüz; Kaibin Huang (GLOBECOM, 2020)

Energy-Efficient Radio Resource Allocation for Federated Edge Learning. - Qunsong Zeng; Yuqing Du; Kaibin Huang; Kin K. Leung (ICC Workshops, 2020)

AvE: Assistance via Empowerment. - Yuqing Du; Stas Tiomkin; Emre Kiciman; Daniel Polani; Pieter Abbeel; Anca D. Dragan (NeurIPS, 2020)

Toward an Intelligent Edge: Wireless Communication Meets Machine Learning. - Guangxu Zhu; Dongzhu Liu; Yuqing Du; Changsheng You; Jun Zhang 004; Kaibin Huang (IEEE Commun. Mag., 2020)

Robust Reinforcement Learning using Adversarial Populations. - Eugene Vinitsky; Yuqing Du; Kanaad Parvate; Kathy Jang; Pieter Abbeel; Alexandre M. Bayen (CoRR, 2020)

High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning. - Yuqing Du; Sheng Yang 001; Kaibin Huang (IEEE Trans. Signal Process., 2020)

Auto-Tuned Sim-to-Real Transfer. - Yuqing Du; Olivia Watkins; Trevor Darrell; Pieter Abbeel; Deepak Pathak (ICRA, 2021)

Wirelessly Powered Federated Edge Learning. - Qunsong Zeng; Yuqing Du; Kaibin Huang (SPAWC, 2021)

Capacity of Remote Classification Over Wireless Channels. - Qiao Lan; Yuqing Du; Petar Popovski; Kaibin Huang (IEEE Trans. Commun., 2021)

Energy-Efficient Resource Management for Federated Edge Learning With CPU-GPU Heterogeneous Computing. - Qunsong Zeng; Yuqing Du; Kaibin Huang; Kin K. Leung (IEEE Trans. Wirel. Commun., 2021)

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis. - Guangxu Zhu; Yuqing Du; Deniz Gündüz; Kaibin Huang (IEEE Trans. Wirel. Commun., 2021)

It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation. - Yuqing Du; Pieter Abbeel; Aditya Grover (ICLR, 2022)

Bayesian Imitation Learning for End-to-End Mobile Manipulation. - Yuqing Du; Daniel Ho; Alex Alemi; Eric Jang; Mohi Khansari (ICML, 2022)

Practical Imitation Learning in the Real World via Task Consistency Loss. - Mohi Khansari; Daniel Ho; Yuqing Du; Armando Fuentes; Matthew Bennice; Nicolas Sievers; Sean Kirmani; Yunfei Bai; Eric Jang (CoRR, 2022)

It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation. - Yuqing Du; Pieter Abbeel; Aditya Grover (CoRR, 2022)

Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer. - Qunsong Zeng; Yuqing Du; Kaibin Huang (IEEE Trans. Wirel. Commun., 2022)

Vision-Language Models as Success Detectors. - Yuqing Du; Ksenia Konyushkova; Misha Denil; Akhil Raju; Jessica Landon; Felix Hill; Nando de Freitas; Serkan Cabi (CoLLAs, 2023)

Schema of an affective cognitive learning system for piano timbre differences: application of the sequential patternmining algorithm. - Xiangdong Liang; Yuqing Du; Fangning Zhu (ICAICE, 2023)

Guiding Pretraining in Reinforcement Learning with Large Language Models. - Yuqing Du; Olivia Watkins; Zihan Wang; Cédric Colas; Trevor Darrell; Pieter Abbeel; Abhishek Gupta 004; Jacob Andreas (ICML, 2023)

Practical Visual Deep Imitation Learning via Task-Level Domain Consistency. - Mohi Khansari; Daniel Ho; Yuqing Du; Armando Fuentes; Matthew Bennice; Nicolas Sievers; Sean Kirmani; Yunfei Bai; Eric Jang (ICRA, 2023)

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. - Ying Fan; Olivia Watkins; Yuqing Du; Hao Liu 055; Moonkyung Ryu; Craig Boutilier; Pieter Abbeel; Mohammad Ghavamzadeh; Kangwook Lee 001; Kimin Lee (NeurIPS, 2023)

Aligning Text-to-Image Models using Human Feedback. - Kimin Lee; Hao Liu 055; Moonkyung Ryu; Olivia Watkins; Yuqing Du; Craig Boutilier; Pieter Abbeel; Mohammad Ghavamzadeh; Shixiang Shane Gu (CoRR, 2023)

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. - Ying Fan; Olivia Watkins; Yuqing Du; Hao Liu 055; Moonkyung Ryu; Craig Boutilier; Pieter Abbeel; Mohammad Ghavamzadeh; Kangwook Lee 001; Kimin Lee (CoRR, 2023)

Joint optimization of low-carbon product family configuration and smart production line selection. - Xinggang Luo; Yuqing Du; Qiuyan Chen; Zhongliang Zhang 001 (Comput. Ind. Eng., 2023)

Learning to Model the World With Language. - Jessy Lin; Yuqing Du; Olivia Watkins; Danijar Hafner; Pieter Abbeel; Dan Klein 001; Anca D. Dragan (ICML, 2024)

Semi-Supervised One Shot Imitation Learning. - Philipp Wu; Kourosh Hakhamaneshi; Yuqing Du; Igor Mordatch; Aravind Rajeswaran; Pieter Abbeel (RLJ, 2024)

Teaching Large Language Models to Reason with Reinforcement Learning. - Alex Havrilla; Yuqing Du; Sharath Chandra Raparthy; Christoforos Nalmpantis; Jane Dwivedi-Yu; Maksym Zhuravinskyi; Eric Hambro; Sainbayar Sukhbaatar; Roberta Raileanu (CoRR, 2024)

HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators. - Yizheng Wang; Xiang Li; Ziming Yan; Yuqing Du; Jinshuai Bai; Bokai Liu; Timon Rabczuk; Yinghua Liu (CoRR, 2024)

Imagen 3. - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)

Intrinsically-Motivated Humans and Agents in Open-World Exploration. - Aly Lidayan; Yuqing Du; Eliza Kosoy; Maria Rufova; Pieter Abbeel; Alison Gopnik (CoRR, 2025)

An Iterative Greedy Algorithm for Solving a Multiobjective Distributed Assembly Flexible Job Shop Scheduling Problem With Fuzzy Processing Time. - Fuqing Zhao; Yuqing Du; Changxue Zhuang; Ling Wang 001; Yang Yu 005 (IEEE Trans. Cybern., 2025)